from keras.layers import Conv2D,MaxPool2D,Input,concatenate

input_img=Input(shape=(256,256,3))

tower_1=Conv2D(64,(1,1),padding='same',activation='relu')(input_img)
tower_1=Conv2D(64,(3,3),padding='same',activation='relu')(tower_1)

tower_2=Conv2D(64,(1,1),padding='same',activation='relu')(input_img)
tower_2=Conv2D(64,(5,5),padding='same',activation='relu')(tower_2)

tower_3=MaxPool2D((3,3),strides=(1,1),padding='same')(input_img)
tower_3=Conv2D(64,(1,1),padding='same',activation='relu')(tower_3)

output=concatenate([tower_1,tower_2,tower_3],axis=1)

print("Ready to Go")

